Article
Oncology
Michelle Roytman, Sean Kim, Shannon Glynn, Charlene Thomas, Eaton Lin, Whitney Feltus, Rajiv S. Magge, Benjamin Liechty, Theodore H. Schwartz, Rohan Ramakrishna, Nicolas A. Karakatsanis, Susan C. Pannullo, Joseph R. Osborne, Jonathan P. S. Knisely, Jana Ivanidze
Summary: This study investigated the correlation between tumor vascularity and SSTR2 expression in meningiomas using Gallium-68-DOTATATE PET/MRI. The results showed a strong correlation between tumor vascularity and SSTR2 expression in WHO-2 and WHO-3 meningiomas, but not in WHO-1 meningiomas.
FRONTIERS IN ONCOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Hyungin Park, Seung Ho Kim, Joo Yeon Kim
Summary: The study identified tumor size and interstitial space volume fraction as significant parameters in differentiating clinically significant cancer from non-clinically significant cancer in patients with prostate cancer (PCa).
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2022)
Review
Cardiac & Cardiovascular Systems
Russell Franks, Sven Plein, Amedeo Chiribiri
Summary: Dynamic contrast enhanced CMR perfusion imaging is a reliable non-invasive tool for the evaluation and risk stratification of patients with coronary artery disease. It offers high spatial and temporal resolution, and does not involve ionizing radiation, making it recommended by international guidelines.
FRONTIERS IN CARDIOVASCULAR MEDICINE
(2021)
Article
Chemistry, Multidisciplinary
Jin Wang, Yinhang Jia, Qiyue Wang, Zeyu Liang, Guangxu Han, Zejun Wang, Jiyoung Lee, Meng Zhao, Fangyuan Li, Ruiliang Bai, Daishun Ling
Summary: The article introduces a T-1-T-2 dual-mode contrast agent designed for ultrahigh-field MRI, which not only improves resolution and signal-to-noise ratio, but also effectively displays microvasculature structures with high sensitivity and accuracy in detecting tumor vascular permeability.
ADVANCED MATERIALS
(2021)
Review
Developmental Biology
Mathilde Jacquier, Chloe Arthuis, David Grevent, Laurence Bussieres, Charline Henry, Anne-Elodie Millischer-Bellaiche, Houman Mahallati, Yves Ville, Nathalie Siauve, Laurent J. Salomon
Summary: Developing a better understanding of placental insufficiency is crucial due to its involvement in common maternofetal complications. Dynamic contrast-enhanced magnetic resonance imaging is a robust method for investigating organ perfusion and could provide valuable insights into the microcirculatory parameters of the human placenta.
Article
Peripheral Vascular Disease
Junshen He, Chunlin Chen, Liqun Xu, Benheng Xiao, Zhao Chen, Ting Wen, Yi Xiang J. Wang, Ping Liu
Summary: The diagnostic value of placental diffusion-derived vessel density (DDVD) was explored in differentiating normal and early preeclampsia pregnancies. The results showed that DDVDmean allowed total separation of normal and early preeclampsia pregnancies.
Article
Clinical Neurology
Nan Huang, Zebin Xiao, Yu Chen, Dejun She, Wei Guo, Xiefeng Yang, Qi Chen, Dairong Cao, Tanhui Chen
Summary: This study evaluated the utility of quantitative DCE-MRI and RESOLVE-DWI in differentiating histological types of parotid tumors, showing that combining these two techniques can effectively characterize different types of parotid tumors.
Article
Reproductive Biology
Daniel P. Seiter, Sydney M. Nguyen, Terry K. Morgan, Lu Mao, Dawn M. Dudley, David H. O'connor, Megan E. Murphy, Kai D. Ludwig, Ruiming Chen, Archana Dhyani, Ante Zhu, Michele L. Schotzko, Kevin G. Brunner, Dinesh M. Shah, Kevin M. Johnson, Thaddeus G. Golos, Oliver Wieben
Summary: The use of noninvasive imaging in early pregnancy to identify placental dysfunction is an important tool for assessing the risk to both mother and fetus. Ferumoxytol dynamic contrast-enhanced MRI, using an iron nanoparticle-based contrast agent, can effectively assess placental health. This study demonstrates that ferumoxytol dynamic contrast-enhanced MRI can detect changes in placental perfusion associated with Zika infection in early pregnancy.
BIOLOGY OF REPRODUCTION
(2022)
Article
Engineering, Biomedical
Lijun Qian, Qing Zhou, Xiaohuan Cao, Wenjun Shen, Shiteng Suo, Shanshan Ma, Guoxiang Qu, Xuhua Gong, Yunqi Yan, Jianrong Xu, Luan Jiang
Summary: A cascade network framework composed of a de-enhancement network and a registration network is proposed for efficient registration of liver images in DCE-MRI. Experimental results show that the method improves efficiency while maintaining registration performance.
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Weibo Gao, Jixin Chen, Bin Zhang, Xiaocheng Wei, Jinman Zhong, Xiaohui Li, Xiaowei He, Fengjun Zhao, Xin Chen
Summary: A deep learning-based system with a cascade feature pyramid network was developed for the detection and classification of breast lesions in dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI). The system outperformed other systems in terms of detecting and classifying breast lesions, especially small lesions.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Oncology
Roberta Fusco, Vincenza Granata, Mauro Mattace Raso, Paolo Vallone, Alessandro Pasquale De Rosa, Claudio Siani, Maurizio Di Bonito, Antonella Petrillo, Mario Sansone
Summary: The study aimed to differentiate benign and malignant breast lesions by combining BOLD-MRI, DCE-MRI, and DW-MRI, but found that the combined use of these imaging techniques did not provide a significant improvement compared to using DCE-MRI alone. An interesting result was the negative correlation between R-2* and D.
Review
Radiology, Nuclear Medicine & Medical Imaging
Lusien van Santwijk, Valentina Kouwenberg, Frederick Meijer, Marion Smits, Dylan Henssen
Summary: This study aimed to review and analyze the accuracy of dynamic susceptibility contrast (DSC) and dynamic contrast enhanced (DCE) perfusion MRI in predicting the IDH genotype and 1p/19q integrity status of gliomas. The results showed that CBV, ktrans, Ve, and Vp values were generally higher in IDH wildtype gliomas compared to IDH mutated gliomas. However, there were no conclusive findings on the prediction of 1p/19q integrity.
INSIGHTS INTO IMAGING
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Dong Jae Shin, Seung Hong Choi, Roh Eul Yoo, Koung Mi Kang, Tae Jin Yun, Ji Hoon Kim, Chul Ho Sohn, Sang Won Jo, Eun Jung Lee
Summary: This study compared the pharmacokinetic parameters of DCE MRI using synthetic MRI and fixed baseline T1 values. The results showed significant differences in parameter values between the two methods in different brain regions, with the T1 map method from synthetic MRI showing comparable interobserver agreements with the fixed baseline T1 value method.
KOREAN JOURNAL OF RADIOLOGY
(2021)
Article
Oncology
Antonella Petrillo, Roberta Fusco, Elio Di Bernardo, Teresa Petrosino, Maria Luisa Barretta, Annamaria Porto, Vincenza Granata, Maurizio Di Bonito, Annarita Fanizzi, Raffaella Massafra, Nicole Petruzzellis, Francesca Arezzo, Luca Boldrini, Daniele La Forgia
Summary: The potential of statistical and artificial intelligence algorithms in assisting radiologists in interpreting mammographic images has been evaluated. These algorithms showed promising results in discriminating benign from malignant breast lesions and identifying hormone receptor presence. Logistic regression and tree-based algorithms were found effective in developing decision-making tools for radiologists. The use of these tools can help assess breast lesions and determine appropriate follow-up without relying on histology.
Article
Radiology, Nuclear Medicine & Medical Imaging
Changlei Lv, Xiaolei Xue, Minggang Huang, Zhen Yang, Xiaolong Chen, Chi Wan Koo
Summary: This study retrospectively analyzed the imaging features of 34 patients with limb ASPS and found that ASPS most commonly affects the lower extremities of adolescents and young adults. Common MRI features include hyperintense signals on T1WI, T2WI, and DWI, low apparent diffusion coefficient (ADC), flow voids, and early arterial enhancement.
QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
(2023)
Article
Obstetrics & Gynecology
Nathalie Siauve, Pierre Humbert Hayot, Benjamin Deloison, Gihad E. Chalouhi, Marianne Alison, Daniel Balvay, Laurence Bussieres, Olivier Clement, Laurent J. Salomon
JOURNAL OF MATERNAL-FETAL & NEONATAL MEDICINE
(2019)
Article
Radiology, Nuclear Medicine & Medical Imaging
Mailyn Perez-Liva, Thulaciga Yoganathan, Joaquin L. Herraiz, Jonathan Poree, Mickael Tanter, Daniel Balvay, Thomas Viel, Anikitos Garofalakis, Jean Provost, Bertrand Tavitian
MOLECULAR IMAGING AND BIOLOGY
(2020)
Article
Multidisciplinary Sciences
Thomas Maldiney, Helene Greigert, Laurent Martin, Emilie Benoit, Catherine Creuzot-Garcher, Pierre-Henry Gabrielle, Jean-Marie Chassot, Claude Boccara, Daniel Balvay, Bertrand Tavitian, Olivier Clement, Sylvain Audia, Bernard Bonnotte, Maxime Samson
Article
Radiology, Nuclear Medicine & Medical Imaging
Saskia Vande Perre, Loic Duron, Audrey Milon, Asma Bekhouche, Daniel Balvay, Francois H. Cornelis, Laure Fournier, Isabelle Thomassin-Naggara
Summary: The study aimed to assess the diagnostic performance of radiomic analysis using high temporal resolution dynamic contrast enhancement MR sequences in distinguishing benign from malignant breast lesions. The results indicated that the radiomic model, incorporating kinetic textural features, outperformed BI-RADS analysis in accurately identifying benign and malignant breast lesions, significantly reducing false positives.
EUROPEAN RADIOLOGY
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Julie Levebvre, Ikram Djebali, Mailyn Perez-Liva, Augustin Lecler, Afef Bouchouicha, Joevin Sourdon, Bentoumi Isma, Cuenod Charles-Andre, Daniel Balvay
Summary: Dynamic-Contrast-Enhanced (DCE) Imaging is widely used to characterize microcirculatory disorders associated with diseases, but the physiological interpretation using pharmacokinetic models remains debatable. Researchers developed a non-linear data-description model to accurately fit DCE data, and its performance was evaluated on simulated data.
MAGNETIC RESONANCE IMAGING
(2021)
Article
Multidisciplinary Sciences
Benjamin Deloison, Chloe Arthuis, Gabriel Benchimol, Daniel Balvay, Laurence Bussieres, Anne-Elodie Millischer, David Grevent, Cecile Butor, Gihad Chalouhi, Houman Mahallati, Olivier Helenon, Bertrand Tavitian, Olivier Clement, Yves Ville, Nathalie Siauve, Laurent Julien Salomon
Summary: The study evaluated the feasibility of using DCE MRI to measure placental perfusion in women, finding that fetuses affected by IUGR had significantly lower total placental blood flow values compared to AGA fetuses. Additionally, DCE perfusion parameters showed a linear correlation with gestational age.
Article
Pathology
Caterina Facchin, Anais Certain, Thulaciga Yoganathan, Clement Delacroix, Alicia Arevalo Garcia, Francois Gaillard, Olivia Lenoir, Pierre -Louis Tharaux, Bertrand Tavitian, Daniel Balvay
Summary: Pathologic fibrosis is a major characteristic of tissue insult in chronic diseases, but there is currently no consistent method for its quantification. This study tested a new open-source software, FIBER-ML, which can automatically quantify fibrosis after a learning phase. The software performed well and showed excellent correlation and agreement with other software. It provides a user-friendly alternative with quality control and file management.
AMERICAN JOURNAL OF PATHOLOGY
(2022)
Article
Oncology
Sophie Moog, Betty Salgues, Yasmine Braik-Djellas, Thomas Viel, Daniel Balvay, Gwennhael Autret, Estelle Robidel, Anne-Paule Gimenez-Roqueplo, Bertrand Tavitian, Charlotte Lussey-Lepoutre, Judith Favier
Summary: This study characterized an in vivo allograft model of SDHB-dependent PPGL and evaluated the response to various therapies. The results showed that sunitinib was the most effective treatment for SDHB-dependent PPGL, and H-1-MRS could potentially serve as an early biomarker of treatment response.
ENDOCRINE-RELATED CANCER
(2022)
Article
Computer Science, Interdisciplinary Applications
Amel Raboudi, Marianne Allanic, Daniel Balvay, Pierre-Yves Herve, Thomas Viel, Thulaciga Yoganathan, Anais Certain, Jacques Hilbey, Jean Charlet, Alexandre Durupt, Philippe Boutinaud, Benoit Eynard, Bertrand Tavitian
Summary: The reuse and sharing of biomedical research data are crucial for advancing research. Data producers need to master data management and reporting using standard metadata to ensure data reusability and understandability. This paper proposes the use of provenance reporting and ontologies to enhance data understanding and interoperability. The BioMedical Study - Lifecycle Management (BMS-LM) core ontology and framework provide a solution to manage the heterogeneity of knowledge organization systems (KOSs) in biomedical research. This study demonstrates the implementation of semantic interoperability in small animal preclinical research.
JOURNAL OF BIOMEDICAL INFORMATICS
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Gabriel Ifergan, Gwennhael Autret, Costantino Del Giudice, Augustin Lecler, Adrien Lalot, Camille Marijon, Amaury Casanova, Mailyn Perez-Liva, Valerie Bellamy, Patrick Bruneval, Olivier Clement, Marc Sapoval, Philippe Menasche, Daniel Balvay
Summary: Critical limb ischemia (CLI) is a severe disease that leads to muscle disorders in the limbs. Currently, there are no reliable tools to accurately assess perfusion defects in CLI. In this study, we propose new methodologies for evaluating perfusion defects using dynamic contrast-enhanced MRI and find that the inclusion of heterogeneity features significantly improves sensitivity and accuracy.
MAGNETIC RESONANCE IMAGING
(2022)
Article
Multidisciplinary Sciences
Thulaciga Yoganathan, Mailyn Perez-Liva, Daniel Balvay, Morgane Le Gall, Alice Lallemand, Anais Certain, Gwennhael Autret, Yasmine Mokrani, Francois Guillonneau, Johanna Bruce, Vincent Nguyen, Umit Gencer, Alain Schmitt, Franck Lager, Thomas Guilbert, Patrick Bruneval, Jose Vilar, Nawal Maissa, Elie Mousseaux, Thomas Viel, Gilles Renault, Nadjia Kachenoura, Bertrand Tavitian
Summary: This study demonstrates that stress-induced cardiomyopathy can lead to continuous deterioration of heart function and structure due to abnormalities in cardiac metabolism, contradicting the supposed reversibility of Takotsubo. This highlights the dysregulation of glucose metabolic pathways as a main cause of long-term cardiac disease.
NATURE COMMUNICATIONS
(2023)
Proceedings Paper
Computer Science, Information Systems
Amel Raboudi, Pierre-Yves Herve, Marianne Allanic, Daniel Balvay, Roberto Duarte, Ismael Bakayako, Thomas Viel, Anais Certain, Thulaciga Yoganathan, Philippe Boutinaud, Alexandre Durupt, Bertrand Tavitian, Benoit Eynard
Summary: Today's biomedical research data are becoming more complex and heterogeneous, requiring the application of a product lifecycle management paradigm to manage and share these data. In this study, we extended a previous application in neuroimaging research to include histology, proteomics, and PET-CT modalities in biomedical data. By introducing the concepts of Agent, Sample, and Intervention, we developed an extended data model called BMS-LM, and demonstrated its effectiveness in facilitating data reuse.
PRODUCT LIFECYCLE MANAGEMENT: GREEN AND BLUE TECHNOLOGIES TO SUPPORT SMART AND SUSTAINABLE ORGANIZATIONS, PT II
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Naziha Khen-Dunlop, Gihad Chalouhi, Augustin Lecler, Afef Bouchouicha, Anne-Elodie Millischer, Bertrand Tavitian, Nathalie Siauve, Daniel Balvay, Laurent J. Salomon
Summary: The study shows that a BOLD response can be observed in the normal fetal lung, indicating appropriate oxygen uptake capacity. This finding may be used in the future to predict the respiratory status of newborns.
EUROPEAN RADIOLOGY
(2021)
Article
Medicine, Research & Experimental
Caterina Facchin, Mailyn Perez-Liva, Anikitos Garofalakis, Thomas Viel, Anais Certain, Daniel Balvay, Thulaciga Yoganathan, Justine Woszczyk, Kelly De Sousa, Joevin Sourdon, Jean Provost, Mickael Tanter, Charlotte Lussey-Lepoutre, Judith Favier, Bertrand Tavitian
Article
Medicine, Research & Experimental
Joevin Sourdon, Corresponding Address, Caterina Facchin, Anais Certain, Thomas Viel, Blaise Robin, Franck Lager, Carmen Marchiol, Daniel Balvay, Thulaciga Yoganathan, Judith Favier, Pierre-Louis Tharaux, Neeraj Dhaun, Gilles Renault, Bertrand Tavitian
Summary: In this study, it was found that the endothelin receptor antagonist macitentan can alleviate the cardiac remodeling induced by the anti-angiogenic drug sunitinib in animals. However, macitentan does not prevent the left ventricular hypertrophy induced by sunitinib.
